OpenAI stated that Pierre Computer Company's open-source software projects will remain open source following OpenAI's acquisition of the company

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Nous Research released Arete-27B, an open-weight supervised fine-tune of Alibaba's Qwen3.8-27B designed to remove Chinese state framing from model responses

Deepgram and Daily committed to keeping the Pipecat framework open source and free under its existing BSD V2 license.

Pipecat is an open-source framework that orchestrates voice and video streams while linking speech-to-text, large language models, and text-to-speech components to minimize latency in AI applications.

Daily co-founder Kwindla Kramer chose Deepgram's acquisition offer over interest from other potential buyers because Deepgram CEO Scott Stephenson committed to keeping Pipecat open source and vendor-neutral.

Deepgram co-developed the Real-Time Context Standard open protocol with the Pipecat team to pass audio context metadata—such as whispers, tone, and model guidance—between voice agent components.

Deepgram and Daily are establishing an independent Pipecat Foundation governed by a steering committee that will include competing companies to manage the framework.

The Daily engineering team will join Deepgram as part of the acquisition, with Daily co-founder Kwindla Hultman Kramer serving as Deepgram's head of open source while Deepgram sells, supports, and develops Daily's existing product suite.

The Pipecat framework features over 200 integrations and almost 400 contributors, having been built by 18 engineers at Daily.

Baidu released ERNIE 5.5 Flash Base, a 280-billion-parameter text-only sparse Mixture-of-Experts foundation model that activates 14 billion parameters per token

Ricursive Intelligence released Ripple-65B Preview in three checkpoints: an instruction-tuned BF16 version, an NVFP4 version, and a BF16 base model

Tencent announced plans to release the model weights for Hy4 along with a detailed report describing Hy4's safety testing, as well as a faster, cost-efficient Flash version of Hy4

FlashProve achieves ~110 tokens per second on Llama 4 Maverick, whereas competing open-source zkML system VerInf yields ~0.02 tokens per second on the same model

FlashProve operates in two phases: an offline phase that publishes a weight commitment taking 39 minutes for 16 million requests, and an online phase where GPUs produce proof for each request

FlashProve produces 18.78 MB proofs for Llama 4 Maverick, compared to VerInf's 93.6 GB proof size and Attestable's 4.35 to 7.92 MiB proof size on Gemma 4 31B

Demand surged in 2026 for AI inference, the process of running post-trained models to generate outputs, particularly from developers and creators using open-source video, image, and audio models

Fal expanded post-training video model arrangements over the past year with open-source and closed-source developers, using licensing fees and revenue share agreements

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Google CEO Sundar Pichai announced EmbeddingGemma 2, the company's first open, natively multimodal embedding model for devices, which maps text, code, images, video, and audio into a unified space

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MiniMax open-sourced its MCode Stack, the agent skills and checklists its team uses to build MiniMax Code, under the MIT license

DeepSeek released an open-source research prototype named dsh-superagent-prototype under the MIT License on GitHub, supporting single GitHub repositories and optional Feishu integration

DeepSeek described its public code repository, dsh-superagent-prototype, as a research prototype rather than production-ready software, noting it differs from the company's internal implementation